Towards Reproducible eScience in the Cloud

@article{Klinginsmith2011TowardsRE,
  title={Towards Reproducible eScience in the Cloud},
  author={Jonathan Klinginsmith and Malika Mahoui and Yuqing Wu},
  journal={2011 IEEE Third International Conference on Cloud Computing Technology and Science},
  year={2011},
  pages={582-586}
}
Whether it be data from ubiquitous devices such as sensors or data generated from telescopes or other laboratory instruments, technology apparent in many scientific disciplines is generating data at rates never witnessed before. Computational scientists are among the many who perform inductive experiments and analyses on these data with the goal of answering scientific questions. These computationally demanding experiments and analyses have become a common occurrence, resulting in a shift in… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 17 references

Pegasus: Mapping large-scale workflows to distributed resources

  • E. Deelman, G. Mehta, G. Singh, M.-H. Su, K. Vahi
  • Workflows for e-Science, I. J. Taylor, E. Deelman…
  • 2007
Highly Influential
4 Excerpts

Challenges and opportunities

  • S. Staff
  • Science, vol. 331, no. 6018, pp. 692–693, 2011.
  • 2011
1 Excerpt

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